






"""simple docstring"""







import unittest

from diffusers.models.unet_ad_blocks import *  # noqa F403
from diffusers.utils import torch_device

from .test_unet_blocks_common import UNetBlockTesterMixin







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     DownBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """down"""






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[-0.0232, -0.9869, 0.8054, -0.0637, -0.1688, -1.4264, 0.4470, -1.3394, 0.0904]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     ResnetDownsampleBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """down"""






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.0710, 0.2410, -0.7320, -1.0757, -1.1343, 0.3540, -0.0133, -0.2576, 0.0948]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     AttnDownBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """down"""






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.0636, 0.8964, -0.6234, -1.0131, 0.0844, 0.4935, 0.3437, 0.0911, -0.2957]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     CrossAttnDownBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """down"""






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			super().prepare_init_args_and_inputs_for_common()
          UpperCAmelCase							     =			32
          return init_dict, inputs_dict






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.2238, -0.7396, -0.2255, -0.3829, 0.1925, 1.1665, 0.0603, -0.7295, 0.1983]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     SimpleCrossAttnDownBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """down"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_encoder_hidden_states=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			super().prepare_init_args_and_inputs_for_common()
          UpperCAmelCase							     =			32
          return init_dict, inputs_dict






    @unittest.skipIf(torch_device == """mps"""      ,"""MPS result is not consistent"""   )
    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.7921, -0.0992, -0.1962, -0.7695, -0.4242, 0.7804, 0.4737, 0.2765, 0.3338]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     SkipDownBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """down"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_skip_sample=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[-0.0845, -0.2087, -0.2465, 0.0971, 0.1900, -0.0484, 0.2664, 0.4179, 0.5069]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     AttnSkipDownBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """down"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_skip_sample=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.5539, 0.1609, 0.4924, 0.0537, -0.1995, 0.4050, 0.0979, -0.2721, -0.0642]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     DownEncoderBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """down"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_temb=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			{
              """in_channels""": 32,
              """out_channels""": 32,
          }
          UpperCAmelCase							     =			self.dummy_input
          return init_dict, inputs_dict






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[1.1102, 0.5302, 0.4872, -0.0023, -0.8042, 0.0483, -0.3489, -0.5632, 0.7626]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     AttnDownEncoderBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """down"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_temb=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			{
              """in_channels""": 32,
              """out_channels""": 32,
          }
          UpperCAmelCase							     =			self.dummy_input
          return init_dict, inputs_dict






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.8966, -0.1486, 0.8568, 0.8141, -0.9046, -0.1342, -0.0972, -0.7417, 0.1538]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     UNetMidBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """mid"""






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			{
              """in_channels""": 32,
              """temb_channels""": 128,
          }
          UpperCAmelCase							     =			self.dummy_input
          return init_dict, inputs_dict






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[-0.1062, 1.7248, 0.3494, 1.4569, -0.0910, -1.2421, -0.9984, 0.6736, 1.0028]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     UNetMidBlockaDCrossAttn  # noqa F405
    SCREAMING_SNAKE_CASE						=     """mid"""






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			super().prepare_init_args_and_inputs_for_common()
          UpperCAmelCase							     =			32
          return init_dict, inputs_dict






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.0187, 2.4220, 0.4484, 1.1203, -0.6121, -1.5122, -0.8270, 0.7851, 1.8335]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     UNetMidBlockaDSimpleCrossAttn  # noqa F405
    SCREAMING_SNAKE_CASE						=     """mid"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_encoder_hidden_states=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			super().prepare_init_args_and_inputs_for_common()
          UpperCAmelCase							     =			32
          return init_dict, inputs_dict






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.7143, 1.9974, 0.5448, 1.3977, 0.1282, -1.1237, -1.4238, 0.5530, 0.8880]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     UpBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """up"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_res_hidden_states_tuple=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[-0.2041, -0.4165, -0.3022, 0.0041, -0.6628, -0.7053, 0.1928, -0.0325, 0.0523]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     ResnetUpsampleBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """up"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_res_hidden_states_tuple=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.2287, 0.3549, -0.1346, 0.4797, -0.1715, -0.9649, 0.7305, -0.5864, -0.6244]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     CrossAttnUpBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """up"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_res_hidden_states_tuple=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			super().prepare_init_args_and_inputs_for_common()
          UpperCAmelCase							     =			32
          return init_dict, inputs_dict






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[-0.1403, -0.3515, -0.0420, -0.1425, 0.3167, 0.5094, -0.2181, 0.5931, 0.5582]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     SimpleCrossAttnUpBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """up"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_res_hidden_states_tuple=snake_case_      ,include_encoder_hidden_states=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			super().prepare_init_args_and_inputs_for_common()
          UpperCAmelCase							     =			32
          return init_dict, inputs_dict






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.2645, 0.1480, 0.0909, 0.8044, -0.9758, -0.9083, 0.0994, -1.1453, -0.7402]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     AttnUpBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """up"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_res_hidden_states_tuple=snake_case_   )






    @unittest.skipIf(torch_device == """mps"""      ,"""MPS result is not consistent"""   )
    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.0979, 0.1326, 0.0021, 0.0659, 0.2249, 0.0059, 0.1132, 0.5952, 0.1033]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     SkipUpBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """up"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_res_hidden_states_tuple=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[-0.0893, -0.1234, -0.1506, -0.0332, 0.0123, -0.0211, 0.0566, 0.0143, 0.0362]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     AttnSkipUpBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """up"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_res_hidden_states_tuple=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.0361, 0.0617, 0.2787, -0.0350, 0.0342, 0.3421, -0.0843, 0.0913, 0.3015]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     UpDecoderBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """up"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_temb=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			{"""in_channels""": 32, """out_channels""": 32}

          UpperCAmelCase							     =			self.dummy_input
          return init_dict, inputs_dict






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.4404, 0.1998, -0.9886, -0.3320, -0.3128, -0.7034, -0.6955, -0.2338, -0.3137]
          super().test_output(snake_case_   )







class    lowerCamelCase__   (			_A       ,	unittest.TestCase					):
    SCREAMING_SNAKE_CASE						=     AttnUpDecoderBlockaD  # noqa F405
    SCREAMING_SNAKE_CASE						=     """up"""






    @property
    def 							_UpperCamelCase				(					self   ):
          return super().get_dummy_input(include_temb=snake_case_   )






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			{"""in_channels""": 32, """out_channels""": 32}

          UpperCAmelCase							     =			self.dummy_input
          return init_dict, inputs_dict






    def 							_UpperCamelCase				(					self   ):
          UpperCAmelCase							     =			[0.6738, 0.4491, 0.1055, 1.0710, 0.7316, 0.3339, 0.3352, 0.1023, 0.3568]
          super().test_output(snake_case_   )





import subprocess
import sys

from transformers import BertConfig, BertModel, BertTokenizer, pipeline
from transformers.testing_utils import TestCasePlus, require_torch

class 							_UpperCamelCase					(       _A	):






			'''simple docstring'''

			@require_torch
			def    lowerCAmelCase__						(							self			:							List[str]   ):
							# this test is a bit tricky since TRANSFORMERS_OFFLINE can only be changed before
							# `transformers` is loaded, and it's too late for inside pytest - so we are changing it
							# while running an external program

							# python one-liner segments

							# this must be loaded before socket.socket is monkey-patched
							UpperCamelCase_:				Optional[Any]						=    """
from transformers import BertConfig, BertModel, BertTokenizer, pipeline
        """

							UpperCamelCase_:				List[Any]						=    """
mname = \"hf-internal-testing/tiny-random-bert\"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
BertTokenizer.from_pretrained(mname)
pipe = pipeline(task=\"fill-mask\", model=mname)
print(\"success\")
        """

							UpperCamelCase_:				Dict						=    """
import socket
def offline_socket(*args, **kwargs): raise RuntimeError(\"Offline mode is enabled, we shouldn't access internet\")
socket.socket = offline_socket
        """

							# Force fetching the files so that we can use the cache
							UpperCamelCase_:				int						=    """hf-internal-testing/tiny-random-bert"""
							BertConfig.from_pretrained(snake_case_   )
							BertModel.from_pretrained(snake_case_   )
							BertTokenizer.from_pretrained(snake_case_   )
							pipeline(task="""fill-mask"""    ,						model=snake_case_   )

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Tuple						=    [sys.executable, """-c""", """\n""".join([load, run, mock]   )]

							# should succeed
							UpperCamelCase_:				Optional[int]						=    self.get_env()
							# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
							UpperCamelCase_:				int						=    """1"""
							UpperCamelCase_:				Optional[Any]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

			@require_torch
			def    lowerCAmelCase__						(							self			:							Any   ):
							# python one-liner segments
							# this must be loaded before socket.socket is monkey-patched
							UpperCamelCase_:				str						=    """
from transformers import BertConfig, BertModel, BertTokenizer, pipeline
        """

							UpperCamelCase_:				Any						=    """
mname = \"hf-internal-testing/tiny-random-bert\"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
BertTokenizer.from_pretrained(mname)
pipe = pipeline(task=\"fill-mask\", model=mname)
print(\"success\")
        """

							UpperCamelCase_:				Optional[int]						=    """
import socket
def offline_socket(*args, **kwargs): raise socket.error(\"Faking flaky internet\")
socket.socket = offline_socket
        """

							# Force fetching the files so that we can use the cache
							UpperCamelCase_:				Optional[int]						=    """hf-internal-testing/tiny-random-bert"""
							BertConfig.from_pretrained(snake_case_   )
							BertModel.from_pretrained(snake_case_   )
							BertTokenizer.from_pretrained(snake_case_   )
							pipeline(task="""fill-mask"""    ,						model=snake_case_   )

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Optional[int]						=    [sys.executable, """-c""", """\n""".join([load, run, mock]   )]

							# should succeed
							UpperCamelCase_:				List[str]						=    self.get_env()
							UpperCamelCase_:				List[Any]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

			@require_torch
			def    lowerCAmelCase__						(							self			:							int   ):
							# this test is a bit tricky since TRANSFORMERS_OFFLINE can only be changed before
							# `transformers` is loaded, and it's too late for inside pytest - so we are changing it
							# while running an external program

							# python one-liner segments

							# this must be loaded before socket.socket is monkey-patched
							UpperCamelCase_:				Dict						=    """
from transformers import BertConfig, BertModel, BertTokenizer
        """

							UpperCamelCase_:				Optional[Any]						=    """
mname = \"hf-internal-testing/tiny-random-bert-sharded\"
BertConfig.from_pretrained(mname)
BertModel.from_pretrained(mname)
print(\"success\")
        """

							UpperCamelCase_:				Dict						=    """
import socket
def offline_socket(*args, **kwargs): raise ValueError(\"Offline mode is enabled\")
socket.socket = offline_socket
        """

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Union[str, Any]						=    [sys.executable, """-c""", """\n""".join([load, run]   )]

							# should succeed
							UpperCamelCase_:				Union[str, Any]						=    self.get_env()
							UpperCamelCase_:				List[Any]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

							# next emulate no network
							UpperCamelCase_:				Optional[int]						=    [sys.executable, """-c""", """\n""".join([load, mock, run]   )]

							# Doesn't fail anymore since the model is in the cache due to other tests, so commenting this.
							# env["TRANSFORMERS_OFFLINE"] = "0"
							# result = subprocess.run(cmd, env=env, check=False, capture_output=True)
							# self.assertEqual(result.returncode, 1, result.stderr)

							# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
							UpperCamelCase_:				Union[str, Any]						=    """1"""
							UpperCamelCase_:				int						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

			@require_torch
			def    lowerCAmelCase__						(							self			:							List[str]   ):
							UpperCamelCase_:				Dict						=    """
from transformers import pipeline
        """
							UpperCamelCase_:				Union[str, Any]						=    """
mname = \"hf-internal-testing/tiny-random-bert\"
pipe = pipeline(model=mname)
        """

							UpperCamelCase_:				Dict						=    """
import socket
def offline_socket(*args, **kwargs): raise socket.error(\"Offline mode is enabled\")
socket.socket = offline_socket
        """
							UpperCamelCase_:				Optional[Any]						=    self.get_env()
							UpperCamelCase_:				int						=    """1"""
							UpperCamelCase_:				int						=    [sys.executable, """-c""", """\n""".join([load, mock, run]   )]
							UpperCamelCase_:				Any						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						1    ,						result.stderr   )
							self.assertIn(
							    """You cannot infer task automatically within `pipeline` when using offline mode"""    ,						result.stderr.decode().replace("""\n"""    ,						""""""   )    ,						)




			@require_torch
			def    lowerCAmelCase__						(							self			:							Optional[int]   ):
							UpperCamelCase_:				str						=    """
from transformers import AutoModel
        """
							UpperCamelCase_:				Dict						=    """
mname = \"hf-internal-testing/test_dynamic_model\"
AutoModel.from_pretrained(mname, trust_remote_code=True)
print(\"success\")
        """

							# baseline - just load from_pretrained with normal network
							UpperCamelCase_:				Optional[int]						=    [sys.executable, """-c""", """\n""".join([load, run]   )]

							# should succeed
							UpperCamelCase_:				Optional[Any]						=    self.get_env()
							UpperCamelCase_:				int						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )

							# should succeed as TRANSFORMERS_OFFLINE=1 tells it to use local files
							UpperCamelCase_:				Union[str, Any]						=    """1"""
							UpperCamelCase_:				List[str]						=    subprocess.run(snake_case_    ,						env=snake_case_    ,						check=snake_case_    ,						capture_output=snake_case_   )
							self.assertEqual(result.returncode    ,						0    ,						result.stderr   )
							self.assertIn("""success"""    ,						result.stdout.decode()   )






